$ loading_
用于迭代检查并修复技能 frontmatter 合规性、分数与 token 问题。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "sensei" 技能： 1. 下载 https://raw.githubusercontent.com/microsoft/GitHub-Copilot-for-Azure/main/.github/skills/sensei/SKILL.md 2. 保存为 ~/.claude/skills/sensei/SKILL.md 3. 装好后重载技能，告诉我可以用了
请运行 sensei，检查这个 skill 的 frontmatter 是否合规，指出缺失字段、格式问题、token 超限风险，并给出修复建议。
返回合规检查结果、问题清单、评分或风险提示，以及可执行的修改建议。
请用 sensei 改进这个 skill 的 frontmatter：修正格式与字段问题，尽量通过测试，并总结你做了哪些修改。
输出修正后的 frontmatter、测试结果，以及变更摘要。
请运行 sensei，评估这个 skill 的 token 使用情况与整体质量分，找出冗余内容，并提出精简方案。
给出 token 统计、质量评估、冗余分析和精简后的优化建议。
"A true master teaches not by telling, but by refining." - The Skill Sensei
Automates skill frontmatter improvement using the Ralph loop pattern - iteratively improving skills until they reach Medium-High compliance with passing tests, then checking token usage and prompting for action.
When user says "sensei help" or asks how to use sensei, show this:
╔══════════════════════════════════════════════════════════════════╗
║ SENSEI - Skill Frontmatter Compliance Improver ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ USAGE: ║
║ Run sensei on <skill-name> # Single skill ║
║ Run sensei on <skill-name> --skip-integration # Fast mode ║
║ Run sensei on <skill1>, <skill2>, ... # Multiple skills ║
║ Run sensei on all Low-adherence skills # Batch by score ║
║ Run sensei on all skills # All skills ║
║ ║
║ EXAMPLES: ║
║ Run sensei on appinsights-instrumentation ║
║ Run sensei on azure-security --skip-integration ║
║ Run sensei on azure-security, azure-observability ║
║ Run sensei on all Low-adherence skills ║
║ ║
║ WHAT IT DOES: ║
║ 1. READ - Load skill's SKILL.md, tests, and token count ║
║ 2. SCORE - Check compliance (Low/Medium/Medium-High/High) ║
║ 3. SCAFFOLD - Create tests from template if missing ║
║ 4. IMPROVE - Add WHEN: triggers (cross-model optimized) ║
║ 5. TEST - Run tests, fix if needed ║
║ 6. REFERENCES- Validate markdown links ║
║ 7. TOKENS - Check token budget, gather suggestions ║
║ 8. SUMMARY - Show before/after with suggestions ║
║ 9. PROMPT - Ask: Commit, Create Issue, or Skip? ║
║ 10. REPEAT - Until Medium-High score + tests pass ║
║ ║
║ TARGET SCORE: Medium-High ║
║ ✓ Description > 150 chars, ≤ 60 words ║
║ ✓ Has "WHEN:" trigger phrases (preferred) ║
║ ✓ No "DO NOT USE FOR:" (unless disambiguation-critical) ║
║ ✓ SKILL.md < 500 tokens (soft limit) ║
║ ║
║ MORE INFO: ║
║ See .github/skills/sensei/README.md for full documentation ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
Run sensei on azure-deploy
Run sensei on azure-security, azure-observability
Run sensei on all Low-adherence skills
Run sensei on all skills
Run sensei on my-skill --gepa
Run sensei on my-skill --gepa --skip-integration
Run sensei on all skills --gepa
When --gepa is used, Step 5 (IMPROVE) is replaced with GEPA evolutionary optimization.
Instead of template-based improvements, GEPA parses trigger prompt arrays from the existing
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分析并精简 Markdown 内容，降低 token 消耗并提升 AI 处理效率。
用于创建、编辑与优化AI技能，并评测其效果与触发准确性。